key terms

Cards (21)

  • triangulation:
    the use of multiple research methods which increases the validity of research.
  • causation:
    being able to determine a cause and effect relationship.
  • case study:
    a piece of small scale research that focuses on a single person/small group.
  • pilot study:
    a small scale trial of research that is done before the real research. This is done to test the research and to see where adjustments need to be made.
  • correlation:
    a measure of a relationship/association between two things.
  • validity:
    a measure of the truth.
  • reliability:
    a measure of consistency.
  • quantitative data:
    data collected in numerical form.
  • qualitative data:
    data collected in written form (words).
  • hypothesis:
    a testable statement. An informed guess written as a statement which is then supported by evidence or proven wrong.
  • Hawthorne effect:
    when a person changes their behaviour because they know they are being watched.
  • social desirability:
    Changing a response/behaviour to look more socially acceptable.
  • primary methods:
    collected by the researcher for the purpose of their research.
  • secondary methods:
    collected by someone else but used by the researcher in their research.
  • sampling frame:
    a list of all the people in the target population from which a sample is taken out of.
  • research population:
    who the researcher wants to apply their findings to (like the target population in psych).
  • representativeness:
    if the people in the research represent the wider population.
  • generalisability:
    If findings can be applied to the wider population/settings outside of the research.
  • demand characteristics:
    when people change their behaviour to either help or hinder the researchers (please-u; screw-u).
  • research question:
    sets out what the researcher is going to investigate and presents a clear focus.
  • operationalising:
    to make something specific. Sociological concepts need to be made objective so they can be measured. For something to be reliable the research needs to be objective.